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Databricks Internships Jobs in Orem, UT (NOW HIRING)

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See Orem, UT salary details

$23

$42

$57

How much do databricks internships jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for databricks internships in Orem, UT is $42.37, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $50.14 per hour, depending on experience, location, and employer.

What is a Databricks internship?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.

What types of projects and responsibilities can a Databricks intern expect during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

What are the key skills and qualifications needed to thrive as a Databricks intern, and why are they important?

To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

What is the difference between Databricks Internships vs Data Engineer Internships?

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

How to get a job at Databricks?

To get a job at Databricks, candidates should have strong skills in data engineering, cloud computing, and programming languages like Python or Scala. Relevant experience with big data tools such as Apache Spark and a solid understanding of machine learning concepts can improve chances. Applying through the company's careers page and preparing for technical interviews are essential steps.

What are popular job titles related to Databricks Internships jobs in Orem, UT?

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What job categories do people searching Databricks Internships jobs in Orem, UT look for?

The top searched job categories for Databricks Internships jobs in Orem, UT are:

Databricks Internships jobs near you

Process Automation Intern, Marine Operations

OOCL USA Inc

South Jordan, UT • On-site

$14.50 - $19/hr

Temporary

Re-posted 8 days ago

Job description

Location: 10913 S River Front Pkwy, South Jordan, UT 84095

Schedule: In-office M-F 8:30AM-5PM; must be able to work at least 20 weekly hours
Duration: Minimum of 12 weeks (with potential extension based on project scope and business needs)
Department: Marine Operations (MAROPS)

Project: Planning Process Automation and Email Reduction


Who is OOCL: OOCL (Orient Overseas Container Line) is one of the world's largest integrated international container transportation and logistics companies. OOCL is well respected in the industry with a reputation for providing customer-focused solutions, a quality-through-excellence approach, and continual innovation. It is also an industry leader in the use of information technology and e-commerce to manage the entire cargo process.


The Project Overview: The Marine Operations (MAROPS) team is seeking a highly motivated Process Automation Intern to support planning process improvements and automation initiatives. This internship offers hands‑on exposure to real operational challenges, data analysis, and automation tools within the maritime/logistics industry. Interns will work on meaningful, project‑based assignments that directly contribute to operational efficiency and performance visibility.

In this internship, you will support a project focused on planning process automation and email reduction, specifically within the MOC (Marine Operations Center) environment. Many current workflows rely on ageing manual tools and fragmented reporting methods; you will help assess automation opportunities, streamline data collection, and enhance KPI visibility.


Key Responsibilities

  • Review existing MOC (Marine Operating Center) planning and reporting processes to identify automation opportunities
  • Support the modernization of legacy tools (5–10 years old) through automation or optimization
  • Assist in reducing manual email dependency by streamlining information intake and reporting methods
  • Help centralize KPI monitoring and performance reporting systems
  • Support data availability and accessibility for operational analysis and decision‑making
  • Collaborate with project sponsors and cross‑functional stakeholders to document findings and recommendations

Learning Outcomes

  • Exposure to real‑world marine operations and planning workflows
  • Hands‑on experience with automation tools and data platforms
  • Practical application of analytics, reporting, and process improvement concepts
  • Development of professional communication and stakeholder collaboration skills
  • Meaningful, non‑clerical project work
  • Real impact on operational efficiency and visibility
  • Professional mentorship and development
  • Experience within a global maritime and logistics organization

Requirements:

  • Currently pursuing a degree in a related field (e.g., Information Systems, Data Analytics, Engineering, Computer Science, Operations, or similar)
  • Microsoft Office Suite
  • Microsoft Power Platform
    • Databricks and/or Microsoft Fabric
    • Power Automate
    • Power BI
  • Strong analytical and problem‑solving skills
  • Ability to work independently and manage project‑based tasks
  • Interest in process improvement, automation, and data‑driven decision‑making

All employment is contingent upon the successful completion of a background check.


OOCL is an Equal Opportunity Employer and offers a diverse, inclusive, and equitable work environment. OOCL does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. For more information, we encourage you to visit us at www.oocl.com.